Documents

2022

• C. E. Mower, T. Stouraitis, J. Moura, C. Rauch, L. Yan, N. Z. Behabadi, M. Gienger, T. Vercauteren, C. Bergeles, S. Vijayakumar, "ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction", Conference on Robot Learning, 2022.
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• N. Zimmerman, T. Guadagnino, X. Chen, J. Behley, C. Stachniss, "Long-Term Localization using Semantic Cues in Floor Plan Maps", IEEE Robotics and Automation Letters, 2022.
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• N. Wilde, J. Alonso-Mora, "Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms", Conference on Robot Learning, 2022.
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• N. Wilde, and J. Alonso-Mora, "Online Multi-Robot Task Assignment with Stochastic Blockages", IEEE Conference on Decision and Control, 2022.
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• L. Wiesmann, T. Guadagnino, I. Vizzo, G. Grisetti, J. Behley, and C. Stachniss, "DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments", IEEE Robotics and Automation Letters, 2022.
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• X. Chen, B. Mersch, L. Nunes, R. Marcuzzi, I. Vizzo, J. Behley, and C. Stachniss, "Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation", IEEE Robotics and Automation Letters, 2022.
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• I. Vizzo, T. Guadagnino, J. Behley, and C. Stachniss, "VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data", Sensors, 2022.
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• N. Zimmerman, L. Wiesmann, T. Guadagnino, T. Läbe, J. Behley, and C. Stachniss, "Robust Onboard Localization in Changing Environments Exploiting Text Spotting", IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022.
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• R. Long, C. Rauch, T. Zhang, V. Ivan, T. Lun Lam and S. Vijayakumar, "RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects", IEEE Robotics and Automation Letters (RAL), (2022).
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• K. Blomqvist, J. J. Chung, L. Ott and R. Siegwart, "Semi-automatic 3D object keypoint annotation and detection for the masses", International Conference on Pattern Recognition (ICPR), 2022.
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• A. Botros, A. Sadeghi, N. Wilde, J. Alonso-Mora and S. L. Smith, "Error-bounded approximation of pareto fronts in robot planning problems," Workshop on the Algorithmic Foundations of Robotics (WAFR), 2022.
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• X. Bai, A. Fielbaum, M. Kronmüller, L. Knoedler and J. Alonso-Mora, "Group-based distributed auction algorithms for multi-robot task assignment," IEEE Transactions on Automation Science and Engineering (TASE), 2022.
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• L. Knoedler, B. Brito, M. Everett, J. P. How and J. Alonso-Mora, "Learning a guidance policy from humans for social navigation," IEEE International Conference on Robotics and Automation Workshop on Social Robot Navigation: Advances and Evaluation (SEANavBench), 2022.
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• C. Rauch, R. Long, V. Ivan and S. Vijayakumar, "Sparse-dense motion modelling and tracking for manipulation without prior object models," IEEE Robotics and Automation Letters (RA-L), 2022.
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• J. Moura, T. Stouraitis and S. Vijayakumar, "Non-prehensile planar manipulation via trajectory optimization with complementarity constraints," IEEE International Conference on Robotics and Automation (ICRA), 2022.
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• L. Knoedler, C. Salmi, H. Zhu, B. Brito and J. Alonso-Mora, "Improving pedestrian prediction models with self-supervised continual learning," IEEE Robotics and Automation Letters (RA-L), 2022.
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• Y. Ao, L. Chen, F. Tschopp, M. Breyer, A. Cramariuc and R. Siegwart, "Unified data collection for visual-inertial calibration via deep reinforcement learning," IEEE International Conference on Robotics and Automation (ICRA), 2022.
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• L. M. Schmid, J. Delmerico, J. L. Schonberger, J. Nieto, M. Pollefeys, R. Siegwart and C. Cadena Lerma, "Panoptic multi-TSDFs: A flexible representation for online multi-resolution volumetric mapping and long-term dynamic scene consistency," IEEE International Conference on Robotics and Automation (ICRA), 2022.
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• S. Wang, W. Hu, L. Sun, X. Wang and Z. Li, "Learning adaptive grasping from human demonstrations," IEEE/ASME Transactions on Mechatronics, 2022.
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2021

• B. Mersch, X. Chen, J. Behley and C. Stachniss, "Self-supervised point cloud prediction using 3D spatio-temporal convolutional networks," Conference on Robot Learning (CoRL), 2021.
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• H. Dong, X. Chen and C. Stachniss, "Online range image-based pole extractor for long-term LiDAR localization in urban environments," European Conference on Mobile Robots (ECMR), 2021.
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• F. Ficuciello, A. Villani, T. Lisini Baldi and D. Prattichizzo, "A human gesture mapping method to control a multi‐functional hand for robot‐assisted laparoscopic surgery: The MUSHA case," Frontiers in Robotics and AI, 2021.
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• W. Hu, C. Yang, K. Yuan and Z. Li, "Learning motor skills of reactive reaching and grasping of objects," IEEE International Conference on on Robotics and Biomimetics (ROBIO), 2021.
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• S. P. Lionar, L. M. Schmid, C. Cadena, R. Siegwart and A. Cramariuc, "NeuralBlox: Real-time neural representation fusion for robust volumetric mapping," International Conference on 3D Vision, 2021.
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• S. Katyara, F. Ficuciello, D. G. Caldwell, B. Siciliano and F. Chen. "Leveraging kernelized synergies on shared subspace for precision grasp and dexterous manipulation," IEEE Transactions on Cognitive and Development Systems, 2021.
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• S. Katyara, F. Ficuciello, F. Chen, B. Siciliano and D. G. Caldwell. "Vision based adaptation to kernelized synergies for human inspired robotic manipulation," IEEE International Conference on Robotics and Automation (ICRA), 2021.
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• D. E. Canbay, P. Ferrentino, H. Liu, R. Moccia, S. Pirozzi, B. Siciliano and F. Ficuciello, "Calibration of tactile/force sensors for grasping with the PRISMA Hand II," IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021.
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• M. Selvaggio, M. Cognetti, S. Nikolaidis, S. Ivaldi and B. Siciliano, "Autonomy in physical human-robot interaction," IEEE Robotics and Automation Letters (RA-L), 2021.
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• E. Triantafyllidis, W. Hu, C. McGreavy and Z. Li, "Metrics for 3D object pointing and manipulation in virtual reality," IEEE Robotics & Automation Magazine (RAM), 2021.
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• T. Zhang, H. Zhang, X. Li, J. Chen, T. L. Lam and S. Vijayakumar, "AcousticFusion: Fusing sound source localization to visual SLAM in dynamic environments," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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• H. Zhang, T. Zhang, T. L. Lam and S. Vijayakumar, "PoseFusion2: Simultaneous background reconstruction and human shape recovery in real-time," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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• L. Di Giammarino, I. Aloise, C. Stachniss and G. Grisetti, "Visual place recognition using LiDAR intensity information," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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• P. Rottmann, T. Posewsky, A. Milioto, C. Stachniss and J. Behley, "Improving monocular depth estimation by semantic pre-training," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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• B. Mersch, T. Höllen, K. Zhao, C. Stachniss and R. Roscher, "Maneuver-based trajectory prediction for self-driving cars using spatio-temporal convolutional networks," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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• M. Arora, L. Wiesmann, X. Chen and C. Stachniss, "Mapping the static parts of dynamic scenes from 3D LiDAR point clouds exploiting ground segmentation," European Conference on Mobile Robots (ECMR), 2021.
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• X. Chen, S. Li, B. Mersch, L. Wiesmann, J. Gall, J. Behley and C. Stachniss, "Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data," IEEE Robotics and Automation Letters (RA-L), 2021.
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• M. Aygün, A. Ošep, M. Weber, M. Maximov, C. Stachniss, J. Behley and L. Leal-Taixé, "4D panoptic LiDAR segmentation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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• H. Ferrolho, W. Merkt, C. Tiseo and S. Vijayakumar, "Residual force polytope: Admissible task-space forces of dynamic trajectories," Robotics and Autonomous Systems (RAS), 2021.
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• M. Selvaggio, J. Cacace, C. Pacchierotti, F. Ruggiero and P. Robuffo Giordano, "A shared-control teleoperation architecture for nonprehensile object transportation", IEEE Transactions on Robotics (T-RO), 2021.
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• I. Vizzo, X. Chen, N. Chebrolu, J. Behley and C. Stachniss, "Poisson surface reconstruction for LiDAR odometry and mapping," IEEE International Conference on Robotics and Automation (ICRA), 2021.
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• A. Reinke, X. Chen and C. Stachniss, "Simple but effective redundant odometry for autonomous vehicles," IEEE International Conference on Robotics and Automation (ICRA), 2021.
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• N. Chebrolu, T. Läbe, O. Vysotska, J. Behley and C. Stachniss, "Adaptive robust kernels for non-linear least squares problems," IEEE Robotics and Automation Letters (RA-L), 2021.
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• M. Grinvald, F. Tombari, R. Siegwart and J. Nieto, "TSDF++: A multi-object formulation for dynamic object tracking and reconstruction," IEEE International Conference on Robotics and Automation (ICRA), 2021.
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• L. Schmid, V. Reijgwart, L. Ott, J. Nieto, R. Siegwart and C. Cadena Lerma, "A unified approach for autonomous volumetric exploration of large scale environments under severe odometry drift," IEEE Robotics and Automation Letters (RA-L), 2021.
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• Z. Chen, J. Alonso-Mora, X. Bai, D. D. Harabor and P. J. Stuckey, "Integrated task assignment and path planning for capacitated multi-agent pickup and delivery," IEEE Robotics and Automation Letters (RA-L), 2021.
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• B. Brito, M. Everett, J. P. How and J. Alonso-Mora, "Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments," IEEE Robotics and Automation Letters (RA-L), 2021.
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